DESOD: a mathematical programming tool to optimally design a distributed energy system

被引：60

作者：

Bracco, Stefano ^{[1
]}

Dentici, Gabriele ^{[2
]}

Siri, Silvia ^{[2
]}

机构：

[1] Univ Genoa, Dept Naval Elect Elect & Telecommun Engn, Via AllOpera Pia 11a, I-16145 Genoa, Italy

[2] Univ Genoa, Dept Informat Bioengn Robot & Syst Engn, Via AllOpera Pia 13, I-16145 Genoa, Italy

来源：

ENERGY | 2016年 / 100卷

关键词：

Distributed generation; Optimal design; Cogeneration; Trigeneration; Renewables; Storage; GENERATION; MODEL; OPERATION; POWER;

D O I：

10.1016/j.energy.2016.01.050

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

One of the main challenges of the community is nowadays to satisfy end use energy demand in an ecofriendly and economic way. EU governmental policies encourage the spread of efficient and clean technologies in the energy sector, supporting distributed generation, cogeneration and trigeneration, as well as the exploitation of renewable sources. Furthermore, smart microgrid and energy storage systems have acquired more and more importance in the last years. Within this context, the DESOD (Distributed Energy System Optimal Design) tool, described in the present paper, has been developed at the University of Genoa. DESOD is based on a mixed-integer linear programming model to optimally design and operate a distributed energy system which provides heating, cooling and electricity to an urban neighborhood. In the paper, the model is described in detail and the results derived from its application to a real test case are discussed; a computational analysis of the model is reported as well. (c) 2016 Elsevier Ltd. All rights reserved.

引用

页码：298 / 309

页数：12

共 29 条

[1] Optimal investment and unit sizing of distributed energy systems under uncertainty: A robust optimization approach [J].